A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
Flight trajectory prediction enabled by time-frequency wavelet transform
Accurate flight trajectory prediction is a crucial and challenging task in air traffic control,
especially for maneuver operations. Modern data-driven methods are typically formulated as …
especially for maneuver operations. Modern data-driven methods are typically formulated as …
Review of clustering technology and its application in coordinating vehicle subsystems
Clustering is an unsupervised learning technology, and it groups information (observations
or datasets) according to similarity measures. Developing clustering algorithms is a hot topic …
or datasets) according to similarity measures. Developing clustering algorithms is a hot topic …
A flight arrival time prediction method based on cluster clustering-based modular with deep neural network
W Deng, K Li, H Zhao - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
With the rapid development of the air transportation industry, air traffic is facing a severe test.
The accurate prediction of the estimated arrival time (EAT) plays an important role in rational …
The accurate prediction of the estimated arrival time (EAT) plays an important role in rational …
[HTML][HTML] Technological and educational challenges towards pandemic-resilient aviation
While COVID-19 has devastating effects on aviation, several recent studies have highlighted
the potential of the pandemic-induced break for rethinking air transportation, hopefully …
the potential of the pandemic-induced break for rethinking air transportation, hopefully …
Long-term 4D trajectory prediction using generative adversarial networks
X Wu, H Yang, H Chen, Q Hu, H Hu - Transportation Research Part C …, 2022 - Elsevier
Four-dimensional trajectory prediction is one of the key technologies of air traffic
management (ATM) and plays a considerably significant role in enhancing air traffic safety …
management (ATM) and plays a considerably significant role in enhancing air traffic safety …
Aircraft trajectory clustering in terminal airspace based on deep autoencoder and gaussian mixture model
The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining
the representative route structure of the arrival and departure trajectory and extracting their …
the representative route structure of the arrival and departure trajectory and extracting their …
FlightBERT: binary encoding representation for flight trajectory prediction
Flight Trajectory Prediction (TP) is an essential task in Air Traffic Control (ATC). Currently,
the TP task is usually achieved by regression approaches, which concatenates several …
the TP task is usually achieved by regression approaches, which concatenates several …
Multi-aircraft trajectory collaborative prediction based on social long short-term memory network
Aircraft trajectory prediction is the basis of approach and departure sequencing, conflict
detection and resolution and other air traffic management technologies. Accurate trajectory …
detection and resolution and other air traffic management technologies. Accurate trajectory …
[HTML][HTML] Vessel estimated time of arrival prediction system based on a path-finding algorithm
Port operation efficiency has grown in importance as container volumes and vessel sizes
have increased. For improved port operations efficiency, the estimated time of arrival (ETA) …
have increased. For improved port operations efficiency, the estimated time of arrival (ETA) …